通过音素对比分析，发现语言发音差异可被声学特征量化。
Vocal Music under Phoneme-Conditional Analysis
- 用同首歌内音素对比法，控制歌手和旋律变量。
- 九种语言中识别语音的声学差异，准确率达85.5%。
- 适合语音学、音乐信息检索研究者参考。
每种语言的声乐都具有独特的声学特质，即使无伴奏亦然。我们探究这些差异是否可测量，并与特定音素相关联。为此，提出音素条件分析方法：在相同歌曲内，对比标记音节与匹配的非标记对照，固定演唱者、旋律和音乐类型。在九种语言、数千首歌曲中，测量了五个声学维度的影响。基于这些影响构建的歌曲级声学特征，在按艺术家分组的九分类任务中，对无伴奏人声的语种识别准确率达85.5%。这种可分离性是否源于音素效应的累积尚待验证。结果表明，音系结构会在语言歌唱中留下系统且可量化的痕迹。
原文摘要 · Abstract (English)
The vocal music of each language carries a distinctive sonic identity, even without instrumental accompaniment. We ask whether these differences are measurable and traceable to specific phonemes. To tackle this question, we introduce phoneme-conditional analysis, which isolates the acoustic effect of typologically distinctive phonemes by comparing marker syllables against matched non-marker controls within the same song, holding singer, melody, and genre constant. Across nine typologically diverse languages and thousands of songs, we measure effects along five acoustic dimensions. Song-level profiles built from these effects identify the language of an unaccompanied vocal at 85.5% balanced accuracy in a nine-way classification with folds grouped by artist; whether the separability arises by accumulation of the phoneme-local effects themselves is left open. Our findings suggest that phonological structure leaves systematic and measurable traces in how each language is sung.
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